17771 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 17771 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,729, 100% | 5,578,393 | 132,741,033 |
1 Room | 14, 0.81%, see rank | 1.73% | 1.95% |
2 Rooms | 60, 3.47%, see rank | 1.73% | 2.48% |
3 Rooms | 95, 5.49%, see rank | 7.21% | 9.13% |
4 Rooms | 310, 17.93%, see rank | 12.40% | 16.60% |
5 Rooms | 365, 21.11%, see rank | 16.40% | 20.41% |
6 Rooms | 349, 20.19%, see rank | 21.82% | 18.06% |
7 Rooms | 276, 15.96%, see rank | 14.82% | 12.27% |
8 Rooms | 137, 7.92%, see rank | 10.70% | 8.48% |
9 Rooms or More | 123, 7.11%, see rank | 13.18% | 10.60% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 17771 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,690, 100% | 5,563,832 | 131,642,457 |
1 Room | 5, 0.30%, see rank | 1.68% | 1.95% |
2 Rooms | 77, 4.56%, see rank | 1.69% | 2.36% |
3 Rooms | 82, 4.85%, see rank | 7.15% | 8.97% |
4 Rooms | 253, 14.97%, see rank | 12.46% | 16.57% |
5 Rooms | 397, 23.49%, see rank | 16.43% | 20.41% |
6 Rooms | 342, 20.24%, see rank | 21.86% | 18.25% |
7 Rooms | 241, 14.26%, see rank | 14.93% | 12.38% |
8 Rooms | 164, 9.70%, see rank | 10.77% | 8.59% |
9 Rooms or More | 129, 7.63%, see rank | 13.03% | 10.52% |
Median Rooms | 5.60, see rank | 6.00 | 5.50 |
US Census 2000 data
| 17771 Zip Code | Pennsylvania | U.S. |
Total Housing Units | 1,761, 100% | 5,249,750 | 115,904,641 |
1 Room | 12, 0.68%, see rank | 1.19% | 2.20% |
2 Rooms | 28, 1.59%, see rank | 2.73% | 4.81% |
3 Rooms | 71, 4.03%, see rank | 7.69% | 9.84% |
4 Rooms | 313, 17.77%, see rank | 12.73% | 15.97% |
5 Rooms | 426, 24.19%, see rank | 17.61% | 20.89% |
6 Rooms | 403, 22.88%, see rank | 23.25% | 18.45% |
7 Rooms | 283, 16.07%, see rank | 14.62% | 12.06% |
8 Rooms | 109, 6.19%, see rank | 10.69% | 8.06% |
9 Rooms or More | 116, 6.59%, see rank | 9.49% | 7.70% |
Median Rooms | 5.60, see rank | 5.80 | 5.30 |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.